Next Session

14 Feb 2017 at 17:00 UTC
11 Apr 2017 at 17:00 UTC

About this course

In the ramp up to the MongoDB 3.4 general availability release and beyond, we are releasing a series of chapters on each of the new features in MongoDB server, Ops Manager, Compass, the MongoDB Connector for Business Intelligence and other tools. 


  • There will be approximately 16 chapters total.
  • Most chapters require 15-30 minutes to complete.
  • All released chapters are available to you when you register and we'll keep the course session open for eight weeks to ensure you have time review all new features.


After completing this course, you should have a good understanding of the features and improvements that MongoDB 3.4 introduces as well as an overall introduction to improved tools like Compass, Ops Manager, BI Connector and Spark Connector.

In addition, you should have a good understanding of how to upgrade to MongoDB 3.4 from existing deployments, and how to expand their usage of MongoDB given the 3.4 new set of features.


One of: M101J, M101JS, M101N, M101P, M102 or 3-6 months experience using or administering MongoDB.

System Requirements

  • Web Browser: FireFox 39.0+ or Chrome 43+ (Internet Explorer is currently not supported)
  • Operating System: Mac OS X 10.7+ 64-bit, Ubuntu 14.04+ 64-bit, or Windows 8+ (64-bit)
  • MongoDB: 3.4.0+
  • VirtualBox 5.0.+ 
  • Vagrant 1.8.1+


Chapter 1: Read-only Views
Chapter 2: Improved BI Connector
Chapter 3: LDAP Authorization
Chapter 4: Log Redaction
Chapter 5: Faster Balancing
Chapter 6: $graphLookup
Chapter 7: Decimal Support
Chapter 8: Robust Initial Sync
Chapter 9: Collations
Chapter 10: Ops Manager 
Chapter 11: Compass Improvements and New Features
Chapter 12: Zone Sharding
Chapter 13: MongoDB Facets
Chapter 14: Spark Connector V2
Chapter 15: New Aggregation Operators
Chapter 16: MongoDB 3.4 Upgrade Tutorial


Norberto Leite

Norberto Leite is curriculum lead at MongoDB. For the past four years, Norberto has worked on scalable distributed application environments as advisor, engineer, and instructor. Prior to MongoDB Norberto served as Big Data Engineer at Telefonica.

William Cross

Will is a curriculum engineer on the Education team at MongoDB. In addition to developing courses for MongoDB online and in-person training programs, Will also writes and maintains the MongoDB Professional Certification exams. Will holds a Ph.D. in Physics from the University of California, Irvine.

Osmar Olivo

Oz is a product manager for the MongoDB server. In this capacity, he helps define strategy for the core server and collaborates on the development of new features with server engineering teams. Prior to his role as a product manager, Oz was a consulting engineer at MongoDB.

Sam Weaver

Sam is a product manager for MongoDB Compass and Documentation. He works with the Compass team to define the audience and strategy for Compass and collaborates the Documentation team to identify refinements to the information architecture of MongoDB docs. Prior to his role as a product manager, Sam was a Solutions Architect at MongoDB.


  • What is the cost of the class?

    This class is free.

  • What do I need to take this class?

    You will need access to a computer and YouTube. A recent Windows, Mac OS or Linux based machine will work fine.

  • Do I need to be available during a certain hour of the day to watch the course?

    The course is self-paced with weekly chapter releases. The course will be broken down into short video segments with periodic assessments to check on your progress and chapter assignments.

  • How does the grading work?

    You will receive a final grade but the grade won't be on your course completion confirmation. To receive a certificate of completion, you will need to achieve 65% on graded material. There are two different types of assessments within the course: quizzes and labs. Quizzes don't count toward your grade but will help you check your understanding. The assignments will be graded. Unfortunately, due to a large number of students and in the interest of fairness, late assignments cannot be accepted.

  • Will I be able to get help?

    We will be providing online forums where students can help each other. In addition, the instructor(s), teaching assistants and other MongoDB employees will monitor the forums and try to help. Often the fastest answer comes from another student.